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Junyu Dai

2 accepted papers

2026

HEAR: HIERARCHICALLY ENHANCED AESTHETIC REPRESENTATIONS FOR MULTIDIMENSIONAL MUSIC EVALUATION

ICASSP 2026poster

Evaluating song aesthetics is challenging due to the multidimensional nature of musical perception and the scarcity of labeled data. We propose HEAR, a robust music aesthetic evaluation framework that combines: (1) a multi-source multi-scale representations module to obtain complementary segment- an…

Cited by 0SourcePDFScholar
2024

InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion Models

IJCAI 2024poster

Music editing primarily entails the modification of instrument tracks or remixing in the whole, which offers a novel reinterpretation of the original piece through a series of operations. These music processing methods hold immense potential across various applications but demand substantial experti…